Edge Impulse Experts / fallBT Public
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Test data

Set confidence thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
Stand.3b73jopg.s4 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Fall.3b73p5it.s5 Fall 2s 0% 1 uncertain
Show classification Show in data acquisition
Fall.3b73l6c8.s5 Fall 2s 100% 1 Fall
Show classification Show in data acquisition
Stand.3b73idst.s2 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Stand.3b73ej7d.s6 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Stand.3b4lilsd.s3 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Fall.3b4lqad7.s3 Fall 2s 100% 1 Fall
Show classification Show in data acquisition
Fall.3b4lqad7.s4 Fall 2s 0% 1 uncertain
Show classification Show in data acquisition
Fall.3b2osvte.s3 Fall 2s 0% 1 uncertain
Show classification Show in data acquisition
Fall.3b2otrd2.s1 Fall 2s 100% 1 Fall
Show classification Show in data acquisition
Stand.3b4map9p.s8 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Stand.3b4map9p.s4 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Fall.3b4m1pql.s5 Fall 2s 100% 1 Fall
Show classification Show in data acquisition
Stand.3b4lh9jd.s8 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Stand.3b4lft7p.s6 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Stand.3b2onq2i.s2 Stand 2s 100% 1 Stand
Show classification Show in data acquisition
Stand.3b2ovi5v.s3 Stand 2s 100% 1 Stand
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
82.35%

Confusion matrix

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Feature explorer

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